Jun Pan
Impact in
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in ⓘ
-
- RNA Interference and Gene Delivery 4
- Circular RNAs in diseases 3
- Oncology 16
- Cancer Cells and Metastasis 3
- Co-authors
- Jian Huang (14 shared papers)Leyi Zhang (10 shared papers)Weiyue Lu (9 shared papers)Chenghui Yang (9 shared papers)Hui Y. Lan (2 shared papers)Hong Jiang (2 shared papers)Jianghua Chen (2 shared papers)Hongfeng Huang (1 shared paper)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Anti-Cancer Drugs (2 papers)Cancers (2 papers)Oncotarget (2 papers)Molecular Pharmaceutics (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Pan
61 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 388
- Nephrology 126
- Pharmaceutical Science 75
- Cancer Research 176
- Transplantation 28
Countries citing papers authored by Jun Pan
This map shows the geographic impact of Jun Pan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).
Fields of papers citing papers by Jun Pan
This network shows the impact of papers produced by Jun Pan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Pan. The network helps show where Jun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Macrophage-to-Myofibroblast Transition Contributes to Interstitial Fibrosis in Chronic Renal Allograft Injury Hit paper breakdown → | 2017 | 323 |
| 2 | 2021 | 118 | |
| 3 | 2004 | 90 | |
| 4 | 2017 | 75 | |
| 5 | Chronic stress-induced immune dysregulation in cancer: implications for initiation, progression, metastasis, and treatment. | 2020 | 67 |
| 6 | 2020 | 58 | |
| 7 | 2020 | 50 | |
| 8 | 2019 | 50 | |
| 9 | 2021 | 44 | |
| 10 | 2019 | 40 | |
| 11 | 2019 | 33 | |
| 12 | 2023 | 32 | |
| 13 | 2021 | 31 | |
| 14 | 2020 | 26 | |
| 15 | 2018 | 26 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2014 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2013 | 18 |
About Jun Pan
Jun Pan is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cancer Research, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Immune cells in cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Inflammatory mediators and NSAID effects (4 papers), Circular RNAs in diseases (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Immunology (388 citations), Nephrology (126 citations), Pharmaceutical Science (75 citations), Cancer Research (176 citations) and Transplantation (28 citations). Jun Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jian Huang, Leyi Zhang, Weiyue Lu, Chenghui Yang, Hui Y. Lan, Hong Jiang, Jianghua Chen, Hongfeng Huang, Xiao-Ru Huang and Ka‐Fai To. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Anti-Cancer Drugs, Cancers, Oncotarget and Molecular Pharmaceutics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.